AVP/VP, Data Scientist (Corporate Services Transformation), Investment Insights Group

GIC; Singapore; Hybrid; SGD 180,000 - 260,000; Full time

Job summary

GIC is seeking a Data Scientist to design and deliver LLM-based AI solutions across Finance, HR, Cybersecurity, and Legal & Compliance. You will own productionisation end-to-end—from architecture and deployment to monitoring and cost control—while partnering with senior leaders to shape the AI roadmap and drive adoption.

The role requires strong knowledge of LangChain, LangGraph, Claude, and enterprise integrations (e.g., SAP), plus experience building data pipelines on AWS/Databricks.

Qualifications

• Degree in a quantitative discipline (Computer Science, Engineering, Mathematics, Physics, Statistics, Finance, or similar).
• Strong track record of productionising LLM-based solutions at scale in an industry setting.
• Demonstrated stakeholder management with senior business leaders, including managing expectations and driving change.
• Strong knowledge of AI frameworks such as LangChain, LangGraph, and Claude, with deep experience in agentic architectures and agent harness design.
• Proven experience building tools and MCP servers or equivalent integrations to enterprise systems, with security and auditability.
• Strong software engineering and architecture skills (testing, CI/CD, cloud-native deployment).
• Strong data science skills: metrics, evaluation methodology, how models work, and LLM fine-tuning.
• Experience building and leading delivery of data pipelines on AWS, Databricks, or similar frameworks.
• Proven ability to measure ROI and communicate it to senior, non-technical audiences.
• At least 7 years of relevant experience, including 4 years of hands-on delivery, and experience mentoring others.

Responsibilities

• Lead the design and delivery of LLM and agentic AI solutions that transform Finance, HR, Cybersecurity, and Legal & Compliance.
• Own productionisation end to end: architecture, deployment, monitoring, security, and cost.
• Partner with senior stakeholders to shape the AI roadmap, prioritise use cases, and drive adoption.
• Lead the design of tools and MCP servers connecting AI agents to enterprise systems such as SAP, and set standards for agent harness design and evaluation.
• Lead data pipeline design on AWS and Databricks, working with the IIG platform team on platform evolution.
• Define the ROI framework for solutions and report realised benefits to senior management.
• Mentor Associates and AVPs and raise the team’s technical bar.

Skills

LLM-based productionising

Stakeholder management

AI framework knowledge

Enterprise integration

Cloud data pipelines

CI/CD

ROI measurement

Mentoring

Education

Quantitative degree

Tools

LangChain

LangGraph

Claude

SAP

Job description

GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 locations around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.

Investment Insights Group

We use advanced quantitative techniques and cutting-edge technological tools to generate insights that drive outstanding investment outcomes for GIC.

Data Science & Innovation Team

You will be part of the Data Science & Innovation team, GIC’s Center of Excellence for AI. Within it, the Corporate Services Transformation sub-group uses the AI platforms built by IIG to transform corporate functions such as Finance, HR, Cybersecurity, and Legal & Compliance. You will build AI solutions that run in production and show the business value they deliver.

What will you do as a Data Scientist?

• Lead the design and delivery of LLM and agentic AI solutions that transform Finance, HR, Cybersecurity, and Legal & Compliance
• Own productionisation end to end: architecture, deployment, monitoring, security, and cost
• Partner with senior stakeholders to shape the AI roadmap, prioritise use cases, and drive adoption
• Lead the design of tools and MCP servers connecting AI agents to enterprise systems such as SAP, and set standards for agent harness design and evaluation
• Lead data pipeline design on AWS and Databricks, working with the IIG platform team on platform evolution
• Define the ROI framework for solutions and report realised benefits to senior management
• Mentor Associates and AVPs and raise the team’s technical bar

What Qualifications or skills should you possess in this role?

• Degree in a quantitative discipline (Computer Science, Engineering, Mathematics, Physics, Statistics, Finance, or similar)
• Strong track record of productionising LLM-based solutions at scale in an industry setting
• Demonstrated stakeholder management with senior business leaders, including managing expectations and driving change
• Strong knowledge of AI frameworks such as LangChain, LangGraph, and Claude, with deep experience in agentic architectures and agent harness design
• Proven experience building tools and MCP servers or equivalent integrations to enterprise systems, with security and auditability
• Strong software engineering and architecture skills (testing, CI/CD, cloud-native deployment)
• Strong data science skills: metrics, evaluation methodology, how models work, and LLM fine-tuning
• Experience building and leading delivery of data pipelines on AWS, Databricks, or similar frameworks
• Proven ability to measure ROI and communicate it to senior, non-technical audiences
• At least 7 years of relevant experience, including 4 years of hands-on delivery, and experience mentoring others.

Nice to have

• Knowledge graphs and graph-based retrieval (e.g. GraphRAG)
• Experience with enterprise application integration (e.g. SAP) and understanding of data governance and responsible AI in a regulated environment

Work at the Point of Impact

We need to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams - be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guides us in how we make our day-to-day decisions. We strive to inspire. To make an impact.

Flexibility at GIC

At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection. At the same time, we believe that flexibility allows us to do our best work and be our best selves. Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration, but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.

GIC is an equal opportunity employer

GIC is an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Learn more about our Investment Insights Group here: https://gic.careers/group/investment-insights-group/

Our PRIME Values

GIC is a values driven organization. GIC’s PRIME Values act as our compass, enabling us to fulfil our fundamental purpose and objectives. It is the foundational bedrock which governs our behaviors, our decision making, and our focus. It informs both our long-term strategy as a firm, and the way we relate to our Client, business partners and employees. PRIME stands for Prudence, Respect, Integrity, Merit and Excellence.